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BeyondViewSource: Company Careers

AI/ML Lead Engineer

On-siteFull-timeLeadArtificial Intelligence & Data
Last verified: 8d ago
Two ways to apply: on the employer's site, or submit your CV here
CompensationNot disclosed
LocationSan Francisco, United States
ListedNov 5, 2026 (8d ago)
DeadlineNot specified

About this role

In BeyondView's Artificial Intelligence & Data area, there is an opening for an AI/ML Lead Engineer in San Francisco, United States. It is an Artificial Intelligence & Data role, and the posting is filed under that category. The posting is for an office role in San Francisco, with the team based there. Anyone applying should be at lead, or close to it. The employer's own description further down the page has the rest, including the application link.

Your Career Hunter matched this listing against the employer's careers page on Nov 5, 2026.

Job Overview

Job description provided by BeyondView.

BeyondView, an architectural visualisation startup based in San Francisco, is hiring an AI/ML Lead Engineer to lead its machine learning work. The role leads AI and machine learning work for a 3D space segmentation and object recognition system, aiming to automate a labour-intensive visualisation pipeline. Responsibilities include creating 3D models of commercial real estate components such as furniture and light fixtures, and managing hardware, data and personnel resources. The lead analyses which machine learning algorithms could solve a given problem and ranks them by their chance of success, then explores and visualises data. They verify data quality through cleaning, supervise data acquisition where more data is needed, and find suitable datasets online for training. Validation strategies, preprocessing and feature engineering, and data augmentation pipelines are all defined by the role holder. Models are trained and their hyperparameters tuned, errors are analysed and strategies designed to overcome them, and models are deployed to production. Candidates need proficiency with deep learning frameworks such as PyTorch, TensorFlow or Keras, plus Python and libraries such as scikit-learn and pandas. Expertise in visualising and manipulating large datasets, proficiency with OpenCV or similar computer vision libraries, and the ability to select a suitable hardware and software stack are also required. Original posting: https://beyondview.com/careers/ai-ml-lead-engineer/

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